How well are you managing your market data vendor duing for your high frequency trading systems?

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(Last Updated On: April 27, 2012)

How well are you managing your market data vendor duing for your high frequency trading systems?

Regulatory reform, competitive pressures and the need to optimize data across the enterprise are pushing custodians, service providers, consultants and securities firms to constantly refine their reference data management strategies. As their strategies evolve, all players in the operations matrix will have to hone their relationships with their market data vendors, which should be collaborative but often aren’t.


In my opinion there is only one way to manage data vendors in a profitable way and this is to make data interchanghable. Building a unique source able to provide data from different information providers in a unique output format, the original one used by your enterprise, you can get data from different providers without changing target applications. For reference data there are several companies offering unique data source, i.e. Asset Control, Golden Source and Smart Co..
For real time data normally applications are fed from Reuters RMDS in FID format (Reuters one) and only solution I know is Consensus Iperlink R/T.
For specific data, i.e. credit derivatives, credit ratings and scoring, balance sheets and so on there is not a ready to use unique source.


NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at